ScatterDensity: Density Estimation and Visualization of 2D Scatter Plots
The user has the option to utilize the two-dimensional density estimation techniques called smoothed density published by Eilers and Goeman (2004) <doi:10.1093/bioinformatics/btg454>, and pareto density which was evaluated for univariate data by Thrun, Gehlert and Ultsch, 2020 <doi:10.1371/journal.pone.0238835>. Moreover, it provides visualizations of the density estimation in the form of two-dimensional scatter plots in which the points are color-coded based on increasing density. Colors are defined by the one-dimensional clustering technique called 1D distribution cluster algorithm (DDCAL) published by Lux and Rinderle-Ma (2023) <doi:10.1007/s00357-022-09428-6>.
| Version: | 0.1.1 |
| Depends: | methods, R (≥ 2.10) |
| Imports: | Rcpp,RcppParallel (≥ 5.1.4),pracma |
| LinkingTo: | Rcpp,RcppArmadillo,RcppParallel |
| Suggests: | DataVisualizations,ggplot2,ggExtra,plotly,FCPS,parallelDist,secr,ClusterR,geometry |
| Published: | 2025-08-20 |
| DOI: | 10.32614/CRAN.package.ScatterDensity |
| Author: | Michael Thrun [aut, cre, cph], Felix Pape [aut, rev], Luca Brinkman [aut], Quirin Stier [aut] |
| Maintainer: | Michael Thrun <m.thrun at gmx.net> |
| BugReports: | https://github.com/Mthrun/ScatterDensity/issues |
| License: | GPL-3 |
| URL: | https://www.deepbionics.org/ |
| NeedsCompilation: | yes |
| Citation: | ScatterDensity citation info |
| CRAN checks: | ScatterDensity results |
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